TOMLAB /NLPQL

TOMLAB /NLPQL integrates The MathWorks' MATLAB and the NLPQL solvers from Klaus Schittkowski.

Features and capabilities

• The NLPQLP solver handles dense nonlinear programming problems. Read more about NLPQLP at Prof. Klaus Schittkowski's Software page.
   
• The solver NLPJOB enables interactive solution of multicriteria optimization problems. The user can select from several different options. Read more about NLPJOB at Prof. Klaus Schittkowski's Software page.
   
• The solver DFNLP Solves constrained nonlinear least squares, L1- and min-max problems, where the objective function is of the following form:
  - sum of squares of function values
  - sum of absolute function values
  - maximum of absolute function values
  - maximum of functions
  In addition there may be any set of equality or inequality constraints. It is assumed that all individual problem functions are continuously differentiable. Read more about DFNLP at Prof. Klaus Schittkowski's Software page.
   
• TOMLAB /NLPQL is integrated with the TOMLAB graphical user interface and the TOMLAB driver routines.
   
• The TOMLAB /NLPQL solvers may be used as subproblem solvers in the TOMLAB environment.
   

Requirements

• MATLAB 6 or later